Correlation Between Aisha Steel and Habib Insurance
Can any of the company-specific risk be diversified away by investing in both Aisha Steel and Habib Insurance at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Aisha Steel and Habib Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aisha Steel Mills and Habib Insurance, you can compare the effects of market volatilities on Aisha Steel and Habib Insurance and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Aisha Steel with a short position of Habib Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aisha Steel and Habib Insurance.
Diversification Opportunities for Aisha Steel and Habib Insurance
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aisha and Habib is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Aisha Steel Mills and Habib Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Habib Insurance and Aisha Steel is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Aisha Steel Mills are associated (or correlated) with Habib Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Habib Insurance has no effect on the direction of Aisha Steel i.e., Aisha Steel and Habib Insurance go up and down completely randomly.
Pair Corralation between Aisha Steel and Habib Insurance
Assuming the 90 days trading horizon Aisha Steel Mills is expected to generate 0.86 times more return on investment than Habib Insurance. However, Aisha Steel Mills is 1.16 times less risky than Habib Insurance. It trades about 0.12 of its potential returns per unit of risk. Habib Insurance is currently generating about 0.03 per unit of risk. If you would invest 704.00 in Aisha Steel Mills on September 4, 2024 and sell it today you would earn a total of 163.00 from holding Aisha Steel Mills or generate 23.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 87.5% |
Values | Daily Returns |
Aisha Steel Mills vs. Habib Insurance
Performance |
Timeline |
Aisha Steel Mills |
Habib Insurance |
Aisha Steel and Habib Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aisha Steel and Habib Insurance
The main advantage of trading using opposite Aisha Steel and Habib Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aisha Steel position performs unexpectedly, Habib Insurance can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Habib Insurance will offset losses from the drop in Habib Insurance's long position.Aisha Steel vs. Big Bird Foods | Aisha Steel vs. Sitara Chemical Industries | Aisha Steel vs. Synthetic Products Enterprises | Aisha Steel vs. Amreli Steels |
Habib Insurance vs. Pakistan Telecommunication | Habib Insurance vs. National Foods | Habib Insurance vs. Air Link Communication | Habib Insurance vs. Quice Food Industries |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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